Analysis of aging effect on lower limb muscle activity using short time Fourier transform and wavelet decomposition of electromyography signal

The ubiquity of human knee osteoarthritis (OA) has increased among the elderly people worldwide. In this paper, the intended focus has been given to evaluate the consequence of aging on the lower limb (LL) muscle activities during sit-stand-sit perturbations. Eighty-four participants, including 51 e...

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Main Authors: Tawhidul Islam Khan, Md. Moznuzzaman, Shuya Ide
Format: Article
Language:English
Published: AIP Publishing LLC 2023-05-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0148044
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author Tawhidul Islam Khan
Md. Moznuzzaman
Shuya Ide
author_facet Tawhidul Islam Khan
Md. Moznuzzaman
Shuya Ide
author_sort Tawhidul Islam Khan
collection DOAJ
description The ubiquity of human knee osteoarthritis (OA) has increased among the elderly people worldwide. In this paper, the intended focus has been given to evaluate the consequence of aging on the lower limb (LL) muscle activities during sit-stand-sit perturbations. Eighty-four participants, including 51 eligible healthy subjects and 33 knee OA patients, took part in this study. The activity of the vastus lateralis, vastus medialis, rectus femoris, and the medial head of gastrocnemius muscles were evaluated using the surface electromyography (EMG) technology. Aging effects on the LL muscles were statistically analyzed by extracting the EMG features based on the conventional technique, short time Fourier transform (STFT) and Wavelet Transform (WT). Healthy subjects were categorized into three groups based on age. The Jarque–Bera test was performed for checking the normality of the dependent variables. To clarify the impact of aging statistically on muscle activity, the independent t-test was performed. The muscle activities of middle age and older age participants were identified to be considerably higher than those of young people. However, they were lower than those of the OA patients. Both the STFT and the WT performed as useful and powerful tools for analyzing EMG signals compared to the conventional filtering approach. The WT outperformed the STFT notably in statistical quantification of the aging effects on LL muscle activities.
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spelling doaj.art-b10eea748aa940c28c360c2c65f8f55d2023-07-26T15:31:53ZengAIP Publishing LLCAIP Advances2158-32262023-05-01135055011055011-1410.1063/5.0148044Analysis of aging effect on lower limb muscle activity using short time Fourier transform and wavelet decomposition of electromyography signalTawhidul Islam Khan0Md. Moznuzzaman1Shuya Ide2Faculty of Science and Engineering, Saga University, Saga, JapanGraduate School of Science and Engineering, Saga University, Saga, JapanTsuruta Orthopedic Clinic, 1241-6 Ushizu-machi, Ogi City, Saga 849-0306, JapanThe ubiquity of human knee osteoarthritis (OA) has increased among the elderly people worldwide. In this paper, the intended focus has been given to evaluate the consequence of aging on the lower limb (LL) muscle activities during sit-stand-sit perturbations. Eighty-four participants, including 51 eligible healthy subjects and 33 knee OA patients, took part in this study. The activity of the vastus lateralis, vastus medialis, rectus femoris, and the medial head of gastrocnemius muscles were evaluated using the surface electromyography (EMG) technology. Aging effects on the LL muscles were statistically analyzed by extracting the EMG features based on the conventional technique, short time Fourier transform (STFT) and Wavelet Transform (WT). Healthy subjects were categorized into three groups based on age. The Jarque–Bera test was performed for checking the normality of the dependent variables. To clarify the impact of aging statistically on muscle activity, the independent t-test was performed. The muscle activities of middle age and older age participants were identified to be considerably higher than those of young people. However, they were lower than those of the OA patients. Both the STFT and the WT performed as useful and powerful tools for analyzing EMG signals compared to the conventional filtering approach. The WT outperformed the STFT notably in statistical quantification of the aging effects on LL muscle activities.http://dx.doi.org/10.1063/5.0148044
spellingShingle Tawhidul Islam Khan
Md. Moznuzzaman
Shuya Ide
Analysis of aging effect on lower limb muscle activity using short time Fourier transform and wavelet decomposition of electromyography signal
AIP Advances
title Analysis of aging effect on lower limb muscle activity using short time Fourier transform and wavelet decomposition of electromyography signal
title_full Analysis of aging effect on lower limb muscle activity using short time Fourier transform and wavelet decomposition of electromyography signal
title_fullStr Analysis of aging effect on lower limb muscle activity using short time Fourier transform and wavelet decomposition of electromyography signal
title_full_unstemmed Analysis of aging effect on lower limb muscle activity using short time Fourier transform and wavelet decomposition of electromyography signal
title_short Analysis of aging effect on lower limb muscle activity using short time Fourier transform and wavelet decomposition of electromyography signal
title_sort analysis of aging effect on lower limb muscle activity using short time fourier transform and wavelet decomposition of electromyography signal
url http://dx.doi.org/10.1063/5.0148044
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